{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization\n",
    "\n",
    "This notebook showcases following data viz using :\n",
    "+ pandas\n",
    "    + plots and sub plots\n",
    "    + hist\n",
    "    + box\n",
    "    + scatter\n",
    "    + timeseries\n",
    "+ matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# import required libraries\n",
    "import random\n",
    "import datetime \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from random import randrange\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "sns.set_context('talk')\n",
    "\n",
    "params = {'legend.fontsize': 'small',\n",
    "          'figure.figsize': (10, 5),\n",
    "         'axes.labelsize': 'medium',\n",
    "         'axes.titlesize':'medium',\n",
    "         'xtick.labelsize':'medium',\n",
    "         'ytick.labelsize':'medium'}\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Utilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def _random_date(start,date_count):\n",
    "    \"\"\"This function generates a random date based on params\n",
    "    Args:\n",
    "        start (date object): the base date\n",
    "        date_count (int): number of dates to be generated\n",
    "    Returns:\n",
    "        list of random dates\n",
    "\n",
    "    \"\"\"\n",
    "    current = start\n",
    "    while date_count > 0:\n",
    "        curr = current + datetime.timedelta(days=randrange(42))\n",
    "        yield curr\n",
    "        date_count-=1\n",
    "\n",
    "\n",
    "def generate_sample_data(row_count=100):\n",
    "    \"\"\"This function generates a random transaction dataset\n",
    "    Args:\n",
    "        row_count (int): number of rows for the dataframe\n",
    "    Returns:\n",
    "        a pandas dataframe\n",
    "\n",
    "    \"\"\"\n",
    "    \n",
    "    # sentinels\n",
    "    startDate = datetime.datetime(2016, 1, 1,13)\n",
    "    serial_number_sentinel = 1000\n",
    "    user_id_sentinel = 5001\n",
    "    product_id_sentinel = 101\n",
    "    price_sentinel = 2000\n",
    "    \n",
    "    \n",
    "    # base list of attributes\n",
    "    data_dict = {\n",
    "    'Serial No': np.arange(row_count)+serial_number_sentinel,\n",
    "    'Date': np.random.permutation(pd.to_datetime([x.strftime(\"%d-%m-%Y\") \n",
    "                                                    for x in _random_date(startDate,\n",
    "                                                                          row_count)]).date\n",
    "                                  ),\n",
    "    'User ID': np.random.permutation(np.random.randint(0,\n",
    "                                                       row_count,\n",
    "                                                       size=int(row_count/10)) + user_id_sentinel).tolist()*10,\n",
    "    'Product ID': np.random.permutation(np.random.randint(0,\n",
    "                                                          row_count,\n",
    "                                                          size=int(row_count/10)) + product_id_sentinel).tolist()*10 ,\n",
    "    'Quantity Purchased': np.random.permutation(np.random.randint(1,\n",
    "                                                                  42,\n",
    "                                                                  size=row_count)),\n",
    "    'Price': np.round(np.abs(np.random.randn(row_count)+1)*price_sentinel,\n",
    "                      decimals=2),\n",
    "    'User Type':np.random.permutation([chr(random.randrange(97, 97 + 3 + 1)) \n",
    "                                            for i in range(row_count)])\n",
    "    }\n",
    "    \n",
    "    # introduce missing values\n",
    "    for index in range(int(np.sqrt(row_count))): \n",
    "        data_dict['Price'][np.argmax(data_dict['Price'] == random.choice(data_dict['Price']))] = np.nan\n",
    "        data_dict['User Type'][np.argmax(data_dict['User Type'] == random.choice(data_dict['User Type']))] = np.nan\n",
    "        data_dict['Date'][np.argmax(data_dict['Date'] == random.choice(data_dict['Date']))] = np.nan\n",
    "        data_dict['Product ID'][np.argmax(data_dict['Product ID'] == random.choice(data_dict['Product ID']))] = 0\n",
    "        data_dict['Serial No'][np.argmax(data_dict['Serial No'] == random.choice(data_dict['Serial No']))] = -1\n",
    "        data_dict['User ID'][np.argmax(data_dict['User ID'] == random.choice(data_dict['User ID']))] = -101\n",
    "        \n",
    "    \n",
    "    # create data frame\n",
    "    df = pd.DataFrame(data_dict)\n",
    "    \n",
    "    return df\n",
    "    \n",
    "    \n",
    "def cleanup_column_names(df,rename_dict={},do_inplace=True):\n",
    "    \"\"\"This function renames columns of a pandas dataframe\n",
    "       It converts column names to snake case if rename_dict is not passed. \n",
    "    Args:\n",
    "        rename_dict (dict): keys represent old column names and values point to \n",
    "                            newer ones\n",
    "        do_inplace (bool): flag to update existing dataframe or return a new one\n",
    "    Returns:\n",
    "        pandas dataframe if do_inplace is set to False, None otherwise\n",
    "\n",
    "    \"\"\"\n",
    "    if not rename_dict:\n",
    "        return df.rename(columns={col: col.lower().replace(' ','_') \n",
    "                    for col in df.columns.values.tolist()}, \n",
    "                  inplace=do_inplace)\n",
    "    else:\n",
    "        return df.rename(columns=rename_dict,inplace=do_inplace)\n",
    "\n",
    "def expand_user_type(u_type):\n",
    "    \"\"\"This function maps user types to user classes\n",
    "    Args:\n",
    "        u_type (str): user type value\n",
    "    Returns:\n",
    "        (str) user_class value\n",
    "\n",
    "    \"\"\"\n",
    "    if u_type in ['a','b']:\n",
    "        return 'new'\n",
    "    elif u_type == 'c':\n",
    "        return 'existing'\n",
    "    elif u_type == 'd':\n",
    "        return 'loyal_existing'\n",
    "    else:\n",
    "        return 'error'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = generate_sample_data(row_count=1000)\n",
    "cleanup_column_names(df)\n",
    "\n",
    "df['date'] = pd.to_datetime(df.date)\n",
    "\n",
    "\n",
    "df['user_class'] = df['user_type'].map(expand_user_type)\n",
    "\n",
    "df['purchase_week'] = df[['date']].applymap(lambda dt:dt.week \n",
    "                                            if not pd.isnull(dt.week) \n",
    "                                            else 0)\n",
    "\n",
    "df = df.dropna(subset=['date'])\n",
    "df['price'].fillna(value=np.round(df.price.mean(),decimals=2),\n",
    "                            inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>product_id</th>\n",
       "      <th>quantity_purchased</th>\n",
       "      <th>serial_no</th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_type</th>\n",
       "      <th>user_class</th>\n",
       "      <th>purchase_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-08-02</td>\n",
       "      <td>1469.29</td>\n",
       "      <td>236</td>\n",
       "      <td>35</td>\n",
       "      <td>1001</td>\n",
       "      <td>5045</td>\n",
       "      <td>n</td>\n",
       "      <td>error</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-11-02</td>\n",
       "      <td>3380.21</td>\n",
       "      <td>377</td>\n",
       "      <td>39</td>\n",
       "      <td>1004</td>\n",
       "      <td>5855</td>\n",
       "      <td>a</td>\n",
       "      <td>new</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-02-02</td>\n",
       "      <td>2379.62</td>\n",
       "      <td>568</td>\n",
       "      <td>21</td>\n",
       "      <td>1008</td>\n",
       "      <td>5189</td>\n",
       "      <td>n</td>\n",
       "      <td>error</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-01-25</td>\n",
       "      <td>1972.20</td>\n",
       "      <td>602</td>\n",
       "      <td>34</td>\n",
       "      <td>1012</td>\n",
       "      <td>5335</td>\n",
       "      <td>n</td>\n",
       "      <td>error</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016-10-01</td>\n",
       "      <td>444.75</td>\n",
       "      <td>382</td>\n",
       "      <td>17</td>\n",
       "      <td>1013</td>\n",
       "      <td>5830</td>\n",
       "      <td>n</td>\n",
       "      <td>error</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date    price  product_id  quantity_purchased  serial_no  user_id  \\\n",
       "1  2016-08-02  1469.29         236                  35       1001     5045   \n",
       "4  2016-11-02  3380.21         377                  39       1004     5855   \n",
       "8  2016-02-02  2379.62         568                  21       1008     5189   \n",
       "12 2016-01-25  1972.20         602                  34       1012     5335   \n",
       "13 2016-10-01   444.75         382                  17       1013     5830   \n",
       "\n",
       "   user_type user_class  purchase_week  \n",
       "1          n      error             31  \n",
       "4          a        new             44  \n",
       "8          n      error              5  \n",
       "12         n      error              4  \n",
       "13         n      error             39  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dtnRIeno6wcHBZGRk0KpVq3L7ZGVlceHCBbOGz5deQ08IIYQQwtHddtttFW6vMkDTlhD5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\nGGNMYThAY4wxxhhTGA7QGGOMMcYU5v8BUrjTQAoHUcAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfee36ce80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "max_user_id = df.user_id.value_counts().index[0]\n",
    "df[df.user_id == max_user_id][['price']].plot(style='blue')\n",
    "plt.title('Price Trends for Particular User')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zJI0aFb5cGo0Lvr6+5OTkcOLECdq2bYujo2Mtlq76WVNdi7LWultrvcE6626N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\nJkNBQQEAtOrhPnW2kpISzJs3D/7+/jh27BiuXbtm5JY1D8YYpFIppk6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MJqvx/D4+Pvjx\nxx8NP13BoP1xrVRxcTEbOnQo27lzp87qup9++okNGzaM/fTTT+y1115jK1euZFeuXGGffvopGzdu\nHJs8eTLLyMhgJ0+eZNnZ2XU+v3p3aVMgUlZ9omYXNTdjYmYXMbM2kfOLmL25MzcnKtCeQKVSsXv3\n7rGgoCA2derUGkc1jBgxgo0dO5b99a9/ZampqZrrr1+/zvr06cP27NnDGGNms5xalKz6RM0uam7G\nxMwuYmZtIucXMbu5Z6Y5aE8gkUgQGxuLyspKxMfH49tvv0VRUZHm9qVLlyIlJQUlJSXw8vICwFd4\nyOVyjB49WrNrvHorBVMmUlZ9omYXNTcgZnYRM2sTOb+I2c09MxVoWioqKmpcV1VVhejoaLz66qtY\nvnw5IiMjER8fr7l9+PDhGDRoEHJzc3HhwgUA/MVUn7lnb2/f4OMdWoJIWfWJml3U3ICY2UXMrE3k\n/CJmb42ZqUADkJeXh7fffhtLly7F9u3bNWdrAUB6ejry8/MREhKCWbNmwdnZGV988QVycnIA8L2r\nli1bpjm+5v79+wD4oao3b96Ej4+PyexzBIiVVZ+o2UXNDYiZXcTM2kTOL2L21pxZ+I1qr1+/jrlz\n50KhUMDW1haxsbE4cuQI+vTpg44dO8LFxQUhISHo1asXAH7W1rZt29CjRw/4+vpCIpHA1dUVTk5O\n+O6777B//36kpqbi6NGjSExMxIIFC+Dh4aFZOUJZjUPU7KLmBsTMLmJmbSLnFzF7a88sYaweJ4S2\nYnv27EFUVBT27dsHFxcXMMYwdepU2NjYYOHChXjmmWc0OyerX6QZM2agpKQEmzZt0oxbA0BqaioO\nHDiA/Px8AMDChQvh6elprGg1iJRVn6jZRc0NiJldxMzaRM4vYvZWn7lFliKYkIcPH7KCggLN3xcs\nWMD+8Y9/MMaqD0G9ceMGGzVqFFu2bJnmvlVVVZpdhVNTU5lcLmfbt29nZWVlOo9ljLGKiooWyfIk\nImXVJ2p2UXMzJmZ2ETNrEzm/iNlFyyzMEGdZWRnWrFmDrVu34ujRo0hKSkL37t2Rl5eHs2fPYubM\nmQAAxhjatWuHwsJCnDt3Do6OjvDz84NEIoFUKkVVVRVcXV1x//59HD9+HH379kWnTp10uj+NvcpF\npKz6RM0uam5AzOwiZtYmcn4Rs4uYGRBkkcC9e/cwf/58pKam4oUXXsDQoUMRHx+PhQsXws3NDQqF\nAqdPn4ZEIoFSqQQATJs2DU5OTjh37hxyc3M1z6V+IVeuXIns7GxERUVpjoUwBSJl1SdqdlFzA2Jm\nFzGzNpHzi5hdxMxqQvSgXbhwAUeOHMF7772H4cOHIzQ0FM7Ozjh37hwkEgmcnJwQHx+P8ePHw8LC\nAkqlEnZ2digvL0dMTAwGDx6MDh06AIDmTWBlZQW5XI7w8HDNbaZApKz6RM0uam5AzOwiZtYmcn4R\ns4uYWU2IHrTLly/D1dUV3t7emusGDBiAkpISeHh4ICgoCBkZGYiKigIAqFQqALwKLy4uRnJyss71\n6gNUR4wYofOcpkCkrPpEzS5qbkDM7CJm1iZyfhGzi5hZTYgCzdfXFwDf2wTg49Q2Njaa2ydPnoye\nPXti3759yMvLg7W1NQCgtLQUnTp1QlZWFgC+Z4qpEymrPlGzi5obEDO7iJm1iZxfxOwiZlYzvxY3\nwtixY7F8+XK4urpqltqmpaXh0aNHcHNzg4uLC6ZMmQKJRIIlS5YgLy8P5eXluHr1KvLz8zFo0CBj\nR6g3kbLqEzW7qLkBMbOLmFmbyPlFzC5iZjVLYzegJVhZWSEsLAwAr74B4Nq1a3BwcIBcLgcADB48\nGG3atMHLL7+MsWPHonv37rh58yb69+8Pb29vk9qc73FEyqpP1Oyi5gbEzC5iZm0i5xcxu4iZ1YTd\nqHbevHkoKirCwYMHda6/ffs2YmNjkZycjD59+mDixIlGaqHhiJRVn6jZRc0NiJldxMzaRM4vYnZh\nMjfD3momLz09nfXp04dt3bqVMcaYQqFg8fHxbMmSJezRo0dGbp1hiZRVn6jZRc3NmJjZRcysTeT8\nImYXKbMQQ5xq7M9uztTUVCgUCoSFhSEnJweffPIJIiMj4efnp3M/cyZSVn2iZhc1NyBmdhEzaxM5\nv4jZRcwsVIGmftHS0tLg4OCA77//HjExMbCyssK2bdswePBgI7fQcETKqk/U7KLmBsTMLmJmbSLn\nFzG7iJmFKtDUZDIZCgsLERkZifnz52Pu3LnGblKzESmrPlGzi5obEDO7iJm1iZxfxOwiZRZykcAv\nv/yCa9euYdasWZo9U1orkbLqEzW7qLkBMbOLmFmbyPlFzC5SZiELtNY0Rv0kImXVJ2p2UXMDYmYX\nMbM2kfOLmF2kzEIWaIQQQgghpkyIkwQIIYQQQswJFWiEEEIIISaGCjRCCCGEEBNDBRohhBBCiImh\nAo0QQgghxMRQgUYIEV54eDjef//9et03Ozsbs2bNgkKhaOZWEUJERgUaIYQ0QFxcHOLi4ozdDEJI\nK0cFGiGEEEKIiaECjRAilOLiYqxYsQL9+vXDwIEDceTIEZ3br1y5gtmzZ6Nv374ICAjA+PHj8eOP\nPwIAjhw5gjfeeAMAEBgYqHlsUVERVq1ahZCQEAQFBWH+/Pn4448/WjYYIaRVoZMECCFCmTt3LpKS\nkrB06VJYW1vj/fffx7179zB79mxMnToVo0ePxv/8z/9g8uTJKC0txe7du5GUlIQzZ85AqVRi//79\n2L59Ow4cOAAvLy84Oztj+vTpyMrKwuLFiyGTybB9+3bk5+fj2LFjcHBwMHZkQogZsjR2AwghpKUk\nJSXh559/xs6dOzF06FAAQNeuXTFlyhQAQFpaGvr374+NGzdCKuUDDJ06dcKkSZPw+++/45lnnoG7\nuzsA3oNmY2ODM2fO4PLlyzh8+DCCgoIAAMHBwRg6dCiioqIwa9asFs9JCDF/VKARQoRx5coVSKVS\nDBw4UHOdv78/OnXqBAAYMmQIhgwZgvLycty6dQvp6emaBQGVlZW1Puevv/4KZ2dn+Pv7Q6lUAgDs\n7e0RFBSEX375hQo0QkijUIFGCBFGYWEhHB0dYWmp+9Hn6uoKAFAqlXj33XcRGRkJlUoFT09P9OjR\nAwBQ12yQ/Px85Ofnw8/Pr8ZtAQEBBk5ACBEFFWiEEGE4OTmhsLAQFRUVsLa21lxfUFAAANixYwe+\n/vprbN68GaGhobC1tUVaWhpiYmLqfM6nnnoKnTt3xkcffVTjNjs7O8OHIIQIgVZxEkKEERwcDMYY\nTp48qbkuLS1Ns+IyPj4effv2RXh4OGxtbQEAsbGxAKp70NRz09T69OmD+/fvw9XVFQEBAQgICIC/\nvz8+/fRTzWMJIaShqAeNECIMLy8vjB49GmvWrEFpaSmcnJzw4YcfwsrKCgCfj7Z3714cPnwYHh4e\nuHjxIj755BMAQGlpKQDeYwYA3377LUJDQzFs2DD4+Phg7ty5WLBgAVxcXBAZGYkffvgBf//7340T\nlBBi9izWrFmzxtiNIISQljJs2DDcv38f+/btw6lTpzB16lQUFRWhc+fOmD9/PrKzs3Hw4EHExMSg\nsLAQq1atQkJCAuzt7TFw4EB07NgR8fHx+Pzzz+Hs7Iz+/fvj2WefRVpaGvbt24djx47B2toaa9eu\nRWhoqLHjEkLMFO2DRgghhBBiYmgOGiGEEEKIiaECjRBCCCHExFCBRgghhBBiYqhAI4QQQggxMVSg\nEUIIIYSYGCrQCCGEEEJMDBVohBBCCCEmhgo0QgghhBATQwUaIYQQQoiJ+f90hPwJudNpvQAAAABJ\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfee36c198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.user_id == max_user_id].plot(x='date',y='price',style='blue')   \n",
    "plt.title('Price Trends for Particular User Over Time')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6X0SQpXLlynTp0oWBAwfSr18/TaM2dOhQUlNTad68OaNHj9Ysz0np0qVZuXIl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfee87bd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['purchase_week',\n",
    "    'quantity_purchased']].groupby('purchase_week').sum().plot.barh(\n",
    "                                                            color='orange')\n",
    "plt.title('Quantities Purchased per Week')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AABhE+AIAADCI8AUAAGBQ++YuAACAu9mW2e4/aF/T19EYrGSruUtAC8PKFwAA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\nAACAQf8LGQaSG6oadfQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfee785978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.price.hist(color='green')\n",
    "plt.title('Price Distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+BAQE6HWALdgBUlcxv8jYqqqqkJWVBX9/f4wePRonTpzQfZWWlsLT0xORkZFI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfef152cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['price','purchase_week']].hist(by='purchase_week',sharex=True)\n",
    "#plt.title('Price Distribution per Week')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pie Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ya86cOZN58+axefNmNm3ahIODA4MGDWLixIklnn/jVtPyp6enW293vU6j0dxx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\nIiIiGoH/D0/bmuioLFhUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cff0238048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_series = df.groupby('user_class').size()\n",
    "class_series.name = 'User Class Distribution'\n",
    "class_series.plot.pie(autopct='%.2f')\n",
    "plt.title('User Class Share')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dPv/8c6vl69evV5UqVdSwYcP/qWbgr0C4wt/CkCFDFBwcrH//+996/fXXtW3bNuNbXjNm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\nCKlEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfeee21eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['quantity_purchased','purchase_week']].plot.box()\n",
    "plt.title('Quantity and Week value distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bubble Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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p92KyR0TUywh95ja/6Kn1ulIAKKnQIEWdL+j3rNAx2SMiIkHhF33PE3pCzetK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\nRDsmzZ4QQgghRDv2f6YBSK9VzNaiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cff025a8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bubble\n",
    "uclass_map = {'new': 1, 'existing': 2, 'loyal_existing': 3,'error':0}\n",
    "df['enc_uclass'] = df.user_class.map(uclass_map) \n",
    "bubble_df = df[['enc_uclass',\n",
    "                'purchase_week',\n",
    "                'price','product_id']].groupby(['purchase_week',\n",
    "                                                'enc_uclass']).agg({'price':'mean',\n",
    "                                                                    'product_id':'count'}).reset_index()\n",
    "bubble_df.rename(columns={'product_id':'total_transactions'},inplace=True)\n",
    "\n",
    "\n",
    "bubble_df.plot.scatter(x='purchase_week',\n",
    "                       y='price')\n",
    "plt.title('Purchase Week Vs Price ')\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CCy8wbNiwCi1u1fE5e9jrSoj7kQEaQtQSGxsbrl27ptfi9ueff973dX5+fsoN3OX+/e9/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\n8WIKeyIiIiJeTGFPRERExIv9P5dElGtVtko+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cff0214390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bubble_df.plot.scatter(x='purchase_week',\n",
    "                       y='price',\n",
    "                       c=bubble_df['enc_uclass']) \n",
    "plt.title('Purchase Week Vs Price Per User Class')                       \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bbyE4OBhnzpzBypUroaWlhYCAAOzevRve3t5scubj44Phw4fjwIEDWLlypUSv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\nRKTD/j8tw3zhfxDdcQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cfeef75550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bubble_df.plot.scatter(x='purchase_week',\n",
    "                       y='price',\n",
    "                       c=bubble_df['enc_uclass'],\n",
    "                       s=bubble_df['total_transactions']*10)\n",
    "plt.title('Purchase Week Vs Price Per User Class Based on Tx')                          \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
